Surv                    re-export Surv from survival
apply_dia               Apply a Trained Model to New Data
apply_pro               Apply Prognostic Model to New Data
bagging_dia             Train a Bagging Diagnostic Model
bagging_pro             Train Bagging Ensemble for Prognosis
calculate_metrics_at_threshold_dia
                        Calculate Classification Metrics at a Specific
                        Threshold
dt_dia                  Train a Decision Tree Model for Classification
en_dia                  Train an Elastic Net (L1 and L2 Regularized
                        Logistic Regression) Model for Classification
en_pro                  Train Elastic Net Cox Model
evaluate_model_dia      Evaluate Diagnostic Model Performance
evaluate_model_pro      Evaluate Prognostic Model Performance
evaluate_predictions_dia
                        Evaluate Predictions from a Data Frame
evaluate_predictions_pro
                        Evaluate External Predictions
figure_dia              Plot Diagnostic Model Evaluation Figures
figure_pro              Plot Prognostic Model Evaluation Figures
figure_shap             Generate and Plot SHAP Explanation Figures
find_optimal_threshold_dia
                        Find Optimal Probability Threshold
gbm_dia                 Train a Gradient Boosting Machine (GBM) Model
                        for Classification
gbm_pro                 Train Gradient Boosting Machine (GBM) for
                        Survival
get_registered_models_dia
                        Get Registered Diagnostic Models
get_registered_models_pro
                        Get Registered Prognostic Models
imbalance_dia           Train an EasyEnsemble Model for Imbalanced
                        Classification
initialize_modeling_system_dia
                        Initialize Diagnostic Modeling System
initialize_modeling_system_pro
                        Initialize Prognosis Modeling System
int_dia                 Comprehensive Diagnostic Modeling Pipeline
int_imbalance           Imbalanced Data Diagnostic Modeling Pipeline
int_pro                 Comprehensive Prognostic Modeling Pipeline
lasso_dia               Train a Lasso (L1 Regularized Logistic
                        Regression) Model for Classification
lasso_pro               Train Lasso Cox Proportional Hazards Model
lda_dia                 Train a Linear Discriminant Analysis (LDA)
                        Model for Classification
load_and_prepare_data_dia
                        Load and Prepare Data for Diagnostic Models
min_max_normalize       Min-Max Normalization
mlp_dia                 Train a Multi-Layer Perceptron (Neural Network)
                        Model for Classification
models_dia              Run Multiple Diagnostic Models
models_pro              Run Multiple Prognostic Models
nb_dia                  Train a Naive Bayes Model for Classification
plot_integrated_results
                        Visualize Integrated Modeling Results
pls_pro                 Train Partial Least Squares Cox (PLS-Cox)
predict_pro             Generic Prediction Interface for Prognostic
                        Models
print_model_summary_dia
                        Print Diagnostic Model Summary
print_model_summary_pro
                        Print Prognostic Model Summary
qda_dia                 Train a Quadratic Discriminant Analysis (QDA)
                        Model for Classification
register_model_dia      Register a Diagnostic Model Function
register_model_pro      Register a Prognostic Model
rf_dia                  Train a Random Forest Model for Classification
ridge_dia               Train a Ridge (L2 Regularized Logistic
                        Regression) Model for Classification
ridge_pro               Train Ridge Cox Model
rsf_pro                 Train Random Survival Forest (RSF)
stacking_dia            Train a Stacking Diagnostic Model
stacking_pro            Train Stacking Ensemble for Prognosis
stepcox_pro             Train Stepwise Cox Model (AIC-based)
svm_dia                 Train a Support Vector Machine (Linear Kernel)
                        Model for Classification
test_dia                Test Data for Diagnostic Models
test_pro                Test Data for Prognostic (Survival) Models
train_dia               Training Data for Diagnostic Models
train_pro               Training Data for Prognostic (Survival) Models
voting_dia              Train a Voting Ensemble Diagnostic Model
xb_dia                  Train an XGBoost Tree Model for Classification
xgb_pro                 Train XGBoost Cox Model
